KR20130096658A - 디지털 엑스레이 이미지 잡음 제거를 위한 방법 - Google Patents

디지털 엑스레이 이미지 잡음 제거를 위한 방법 Download PDF

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KR20130096658A
KR20130096658A KR1020130017945A KR20130017945A KR20130096658A KR 20130096658 A KR20130096658 A KR 20130096658A KR 1020130017945 A KR1020130017945 A KR 1020130017945A KR 20130017945 A KR20130017945 A KR 20130017945A KR 20130096658 A KR20130096658 A KR 20130096658A
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South Korea
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noise
image
filter
pixel
digital
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KR1020130017945A
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English (en)
Korean (ko)
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바실에비치 메르큐레브 세르게이
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자크리토에 악시오네르노에 오브슈체스트보 “임펄스”
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Publication of KR20130096658A publication Critical patent/KR20130096658A/ko

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10116—X-ray image

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Optics & Photonics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Signal Processing (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Multimedia (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Image Processing (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Image Analysis (AREA)
KR1020130017945A 2012-02-22 2013-02-20 디지털 엑스레이 이미지 잡음 제거를 위한 방법 KR20130096658A (ko)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EAEA201200255 2012-02-22
EA201200255A EA201200255A1 (ru) 2012-02-22 2012-02-22 Способ подавления шума цифровых рентгенограмм

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Publication Number Publication Date
KR20130096658A true KR20130096658A (ko) 2013-08-30

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KR1020130017945A KR20130096658A (ko) 2012-02-22 2013-02-20 디지털 엑스레이 이미지 잡음 제거를 위한 방법

Country Status (7)

Country Link
US (1) US8873825B2 (ru)
EP (1) EP2631870A1 (ru)
JP (1) JP2013175182A (ru)
KR (1) KR20130096658A (ru)
CN (1) CN103295190A (ru)
EA (1) EA201200255A1 (ru)
WO (1) WO2013125984A2 (ru)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2861212A1 (en) * 2012-03-07 2013-09-12 Sony Corporation Image processing device and method, and program
JP6071444B2 (ja) * 2012-11-07 2017-02-01 キヤノン株式会社 画像処理装置及びその作動方法、プログラム
TWI573096B (zh) * 2013-12-31 2017-03-01 智原科技股份有限公司 影像雜訊估測的方法與裝置
CN103761716A (zh) * 2014-01-25 2014-04-30 深圳市恩普电子技术有限公司 超声系统中的自适应伪差去除方法及系统
CN104103046B (zh) * 2014-07-11 2017-01-04 中国人民解放军信息工程大学 一种极化sar图像的快速滤波处理方法
CN104318527A (zh) * 2014-10-21 2015-01-28 浙江工业大学 基于小波变换和引导滤波器的医学超声图像去噪方法
CN104517266B (zh) * 2014-12-22 2017-06-06 南京信息工程大学 基于边缘检测算子的混合自适应图像去噪方法
US9799126B2 (en) * 2015-10-02 2017-10-24 Toshiba Medical Systems Corporation Apparatus and method for robust non-local means filtering of tomographic images
CN115049563A (zh) 2015-12-31 2022-09-13 上海联影医疗科技股份有限公司 一种图像处理方法和系统
WO2017132600A1 (en) * 2016-01-29 2017-08-03 Intuitive Surgical Operations, Inc. Light level adaptive filter and method
EP3552390A1 (en) 2016-12-23 2019-10-16 Huawei Technologies Co., Ltd. Mixed domain collaborative in-loop filter for lossy video coding
EP3435326B1 (en) * 2017-07-27 2020-02-19 Siemens Healthcare GmbH Method for processing at least one x-ray image
CN107590785B (zh) * 2017-09-06 2020-06-16 吉林大学 一种基于sobel算子的布里渊散射谱图像识别方法
KR102216965B1 (ko) * 2019-05-07 2021-02-18 주식회사 힐세리온 이산 웨이브릿 변환을 이용한 영상신호의 노이즈 제거 장치 및 이를 포함하는 원격 의료 진단 시스템
CN110443760B (zh) * 2019-07-10 2022-03-15 深圳市安健科技股份有限公司 图像降噪方法及计算机可读存储介质
CN110458783B (zh) * 2019-08-22 2023-01-31 齐鲁工业大学 一种基于具有图像细节保护能力的非局部双边滤波的椒盐噪声去除方法
US11288775B2 (en) 2019-11-27 2022-03-29 GE Precision Healthcare LLC Methods and systems for parametric noise modulation in x-ray imaging
KR20210113464A (ko) * 2020-03-05 2021-09-16 삼성전자주식회사 이미징 장치 및 이를 포함하는 전자 기기

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0470003A (ja) 1990-07-09 1992-03-05 Nec Eng Ltd Ｒｓフリップフロップ回路
EP1392047B1 (en) 2002-08-22 2013-10-30 Samsung Electronics Co., Ltd. Digital document processing for image enhancement
RU2400815C2 (ru) 2006-10-09 2010-09-27 Самсунг Электроникс Ко., Лтд. Способ повышения качества цифрового фотоизображения
RU2342701C1 (ru) 2007-08-15 2008-12-27 Российская Федерация, от имени которой выступает Министерство обороны Российской Федерации Способ комплексирования цифровых многоспектральных полутоновых изображений
JP4640508B2 (ja) * 2009-01-09 2011-03-02 ソニー株式会社 画像処理装置、画像処理方法、プログラム、及び撮像装置
CN102129671B (zh) * 2011-02-28 2012-11-14 清华大学 基于凸集投影法和复数小波包域的遥感图像上采样方法

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Publication number Publication date
WO2013125984A3 (ru) 2013-11-14
US20130216117A1 (en) 2013-08-22
EA201200255A1 (ru) 2013-08-30
CN103295190A (zh) 2013-09-11
JP2013175182A (ja) 2013-09-05
WO2013125984A2 (ru) 2013-08-29
EP2631870A1 (en) 2013-08-28
US8873825B2 (en) 2014-10-28

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